Connecting sequence and biology in the laboratory mouse

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Large-scale mouse genome and transcriptome data are available from the Mouse Genome Sequencing Consortium and RIKEN.
• Integrating this sequence data with existing biological knowledge presents a significant informatics challenge.
• Public resources like NCBI and MGI are essential for managing genomic data and linking sequence to biological function.

Purpose of the Study:

• To describe the integration of mouse sequence data with biological information.
• To highlight the collaborative efforts between MGI and NCBI LocusLink in data integration.
• To demonstrate the utility of integrated data for understanding gene function in the laboratory mouse.

Main Methods:

• Integration of 60,770 FANTOM2 mouse cDNAs.
• Utilizing gene records from the Mouse Genome Informatics (MGI) database.
• Leveraging data from the National Center for Biotechnology Information (NCBI) LocusLink resource.

Main Results:

• Successful integration of a large set of mouse cDNA sequences with established gene records.
• Establishment of connections between mouse genome/transcriptome data and gene function.
• Creation of a more comprehensive view of mouse gene information for researchers.

Conclusions:

• The partnership between MGI and NCBI LocusLink effectively integrates large-scale mouse genomic and transcriptomic data.
• This integration provides a valuable resource for advancing biological research on the laboratory mouse.
• Improved data accessibility and connectivity facilitate a deeper understanding of gene roles in biological processes.